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# Senior Data Scientist

- **Company:** Just Eat Takeaway.com
- **Location:** Amsterdam, Netherlands (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Code Review, Python (Programming Language), Linear Programming, Machine Learning, Regression Analysis, SQL Databases, Containerization, Optimization Algorithms, Machine Learning Operations, Docker
- **Published:** September 26, 2026
- **Apply:** https://devitjobs.nl/en/jobs/Just-Eat-Takeawaycom-Senior-Data-Scientist

## About the Role

Proven experience as a Data Scientist, with a strong portfolio of delivering impactful projects in a commercial environment.

 - Deep theoretical and practical knowledge of Time Series Forecasting (e.g., ARIMA) and Regression analysis.
 - Plus to have experience with Optimization techniques (Linear Programming, Heuristics), Causal Inference frameworks and AI engineering.
 - Comfortable writing production-quality Python code. Experience with MLOps tools, containerization (Docker), and orchestration (Airflow/Dagster) is essential.
 - Experience with Cloud platforms (GCP preferred, or AWS/Azure) and handling large datasets via SQL/BigQuery.
 - A proactive mindset with the vision to spot new opportunities for data-driven improvements in a physical logistics network.
 - Experience in Logistics, Supply Chain, or On-Demand delivery industries is a strong asset.
 - Excellent communication skills in English, with the ability to explain complex AI concepts to non-technical stakeholders and influence decision-making.

## Description

Take full ownership of complex data science projects from the initial what if question to final delivery.

 - Proactively identify opportunities within logistics operations where machine learning or optimization can drive efficiency, cost-savings, or service improvements.
 - Develop and refine sophisticated models using regression and time-series forecasting to predict order volume and courier supply.
 - Apply mathematical optimization techniques to solve routing, zoning, and shift-planning challenges.
 - Design and deploy production-grade code and machine learning pipelines.
 - Ensure your models are scalable, maintainable, and integrated seamlessly into our cloud infrastructure.
 - Apply causal inference methods to understand the true impact of operational changes on the broader logistics network.
 - Act as a technical partner to Operations leadership and translate complex mathematical outcomes into actionable business recommendations.
 - Champion high coding standards and data science best practices within the team, conducting code reviews and guiding peers through technical roadblocks.


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